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Run ETL processes in parallel (#1253)

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* WIP on parallelizing

* switching to get_tmp_path for nri

* switching to get_tmp_path everywhere necessary

* fixing linter errors

* moving heavy ETLs to front of line

* add hold

* moving cdc places up

* removing unnecessary print

* moving h&t up

* adding parallel to geo post

* better census labels

* switching to concurrent futures

* fixing output
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Lucas Merrill Brown 2022-02-11 14:04:53 -05:00 • committed by GitHub
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data/data-pipeline/data_pipeline/etl/sources/hud_housing/etl.py
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@ -10,7 +10,7 @@ class HudHousingETL(ExtractTransformLoad):
self.OUTPUT_PATH = self.DATA_PATH / "dataset" / "hud_housing"
self.GEOID_TRACT_FIELD_NAME = "GEOID10_TRACT"
self.HOUSING_FTP_URL = "https://www.huduser.gov/portal/datasets/cp/2014thru2018-140-csv.zip"
self.HOUSING_ZIP_FILE_DIR = self.TMP_PATH / "hud_housing"
self.HOUSING_ZIP_FILE_DIR = self.get_tmp_path() / "hud_housing"
# We measure households earning less than 80% of HUD Area Median Family Income by county
# and paying greater than 30% of their income to housing costs.